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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Site code
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
sitecodes_CC_ISO2 Vocabulary
Released
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19 Aug 2020
sitecodes_DATE_ALLOCATED Quantitative
Released
  • Step 1
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  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_DATE_CREATED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_DATE_DELETED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_INITIAL_SITE_NAME Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_SITE_CODE_NAT Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_STATUS Fixed values
Released
  • Step 1
  • Step 2
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_USER_ALLOCATED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_USER_CREATED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_YEARS_DELETED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

192,024 concepts found, displaying 190,301 to 190,320.First9,5129,5139,5149,5159,5169,5179,5189,519Last
Id Label Status Status Modified Notation
555772792 n/a Quick edit Valid 2025-07-18 555772792
555772793 n/a Quick edit Valid 2025-07-18 555772793
555772794 n/a Quick edit Valid 2025-07-18 555772794
555772795 n/a Quick edit Valid 2025-07-18 555772795
555772796 n/a Quick edit Valid 2025-07-18 555772796
555772797 n/a Quick edit Valid 2025-07-18 555772797
555772798 n/a Quick edit Valid 2025-07-18 555772798
555772799 n/a Quick edit Valid 2025-07-18 555772799
555772800 n/a Quick edit Valid 2025-07-18 555772800
555772801 n/a Quick edit Valid 2025-07-18 555772801
555772802 n/a Quick edit Valid 2025-07-18 555772802
555772803 n/a Quick edit Valid 2025-07-18 555772803
555772804 n/a Quick edit Valid 2025-07-18 555772804
555772805 n/a Quick edit Valid 2025-07-18 555772805
555772806 n/a Quick edit Valid 2025-07-18 555772806
555772807 n/a Quick edit Valid 2025-07-18 555772807
555772808 n/a Quick edit Valid 2025-07-18 555772808
555772809 n/a Quick edit Valid 2025-07-18 555772809
555772810 n/a Quick edit Valid 2025-07-18 555772810
555772811 n/a Quick edit Valid 2025-07-18 555772811
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?